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Abstract: This paper discusses one approach to the scaling problem of machine learning (Chan and Stolfo 1995) namely the decomposition of large datasets into smaller subsets so that the learning task on each subset is greatly reduced in comparison to the learning task for the whole dataset. A previous study (Catlett 1992) has examined this approach and concluded that classifiers learned on a subset of available data were significantly less accurate that classifiers learned on training sets entire. We... (Update)
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BibTeX entry: (Update)
@misc{ thompson-subsetting,
author = "Simon Thompson",
title = "Subsetting as an Approach to Distributed Learning.",
url = "citeseer.ist.psu.edu/91966.html" }
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47 Megainduction: A test flight (context) - Catlett - 1991 DBLP
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34 Structured induction in expert systems (context) - Shapiro - 1987 ACM
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